This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 0.4454
Accuracy: 0.8028
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 256
eval_batch_size: 256
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
